package com.sky.service.impl;

import com.sky.dto.GoodsSalesDTO;
import com.sky.entity.Orders;
import com.sky.mapper.OrderMapper;
import com.sky.mapper.ReportMapper;
import com.sky.mapper.UserMapper;
import com.sky.service.ReportService;
import com.sky.service.WorkspaceService;
import com.sky.vo.*;
import org.apache.commons.lang.StringUtils;
import org.apache.poi.xssf.usermodel.XSSFSheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.format.annotation.DateTimeFormat;
import org.springframework.stereotype.Service;

import javax.servlet.ServletOutputStream;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.io.InputStream;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.LocalTime;
import java.util.*;
import java.util.stream.Collectors;

@Service
public class ReportServiceImpl implements ReportService
{
    @Autowired
    private ReportMapper reportMapper;

    @Autowired
    private OrderMapper orderMapper;

    @Autowired
    private UserMapper userMapper;

    @Autowired
    private WorkspaceService workspaceService;
    @Override
    public TurnoverReportVO turnover(LocalDate begin,LocalDate end)
    {
        //1.营业额指的是订单状态为已完成的订单金额合计。
        //2.X轴为日期，Y轴为营业额。
        //3.根据时间选择区间，展示每天的营业额数据。
        //当前集合用于存放从begin到end范围内的每天的日期
        List<LocalDate> dateList = new ArrayList<>();
        dateList.add(begin);
        while(!begin.equals(end))
        {
            //日期计算，计算指定日期的后一天对应的日期
            begin = begin.plusDays(1);
            dateList.add(begin);
        }
        //存放每天的营业额
        List<Double> turnoverList = new ArrayList<>();
        for(LocalDate date : dateList){
            //查询date日期对应的营业额数据，营业额是指：状态为“已完成”的订单金额合计。
            //LocalDate只有年月日
            LocalDateTime beginTime = LocalDateTime.of(date, LocalTime.MIN); //LocalTime.MIN相当于获得0点0分
            LocalDateTime endTime = LocalDateTime.of(date,LocalTime.MAX);//无限接近于下一个日期的0点0分0秒
            //select sum(amount) from orders where order_time > ? and order_time < ? and status = 5
            //status==5代表订单已完成
            Map map = new HashMap();
            map.put("begin",beginTime);
            map.put("end",endTime);
            map.put("status", Orders.COMPLETED);
            Double turnover = orderMapper.sumByMap(map); //算出当天的营业额
            //考虑当天营业额为0的情况，会返回空
            turnover = turnover == null ? 0.0:turnover;
            turnoverList.add(turnover);
        }
        //封装返回结果
        return TurnoverReportVO
                .builder()
                .dateList(StringUtils.join(dateList,","))
                .turnoverList(StringUtils.join(turnoverList,","))
                .build();
    }

    /**
     * 用户统计
     * @param begin
     * @param end
     * @return
     */
    @Override
    public UserReportVO getUserStatistics(LocalDate begin, LocalDate end)
    {
        //存放从begin到end之间的每天对应的日期
        List<LocalDate> dateList = new ArrayList<>();
        dateList.add(begin);
        while(!begin.equals(end)){
            begin = begin.plusDays(1);
            dateList.add(begin);
        }
        //存放每天的新增用户数量 select count(id) from user where create_time < ? and create_time> ?
        List<Integer> newUserList = new ArrayList<>();
        //存放每天的总用户数量 select count(id) from user where create_time < ?
        List<Integer> totalUserList = new ArrayList<>();
        for(LocalDate date : dateList){
            LocalDateTime beginTime = LocalDateTime.of(date, LocalTime.MIN);
            LocalDateTime endTime = LocalDateTime.of(date, LocalTime.MAX);
            Map map = new HashMap();
            map.put("end",endTime);//只加一个end（1个参数）自动匹配统计总计的SQL语句
            //总用户数量
            Integer totalUser = userMapper.countByMap(map);
            map.put("begin",beginTime);//再加一个参数匹配统计每日新增的SQL语句
            //新增用户数量
            Integer newUser = userMapper.countByMap(map);
            totalUserList.add(totalUser);
            newUserList.add(newUser);
        }
        return UserReportVO
                .builder()
                .dateList(StringUtils.join(dateList,","))
                .totalUserList(StringUtils.join(totalUserList,","))
                .newUserList(StringUtils.join(newUserList,","))
                .build();
    }

    /**
     * 订单统计
     * @param begin
     * @param end
     * @return
     */
    @Override
    public OrderReportVO getOrderStatistics(LocalDate begin, LocalDate end)
    {
        List<LocalDate> dateList = new ArrayList<>();
        dateList.add(begin);
        while(!begin.equals(end))
        {
            begin = begin.plusDays(1);
            dateList.add(begin);
        }
        //存放每天的订单总数
        List<Integer> orderCountList = new ArrayList<>();
        //存放每天的有效订单数
        List<Integer> validOrderCountList = new ArrayList<>();
        //便利dateList集合，查询每天的有效订单数和订单总数
        for(LocalDate date : dateList)
        {
            //查询每天的订单总数 select count(id) from orders where order_time > ? and order_time < ?
            LocalDateTime beginTime = LocalDateTime.of(date, LocalTime.MIN);
            LocalDateTime endTime = LocalDateTime.of(date, LocalTime.MAX);
            Integer orderCount = getOrderCount(beginTime, endTime, null);
            //查询每天的有效订单数select count(id) from orders where order_time > ? and order_time < ? and status = 5
            Integer validOrderCount = getOrderCount(beginTime, endTime, Orders.COMPLETED);
            orderCountList.add(orderCount);
            validOrderCountList.add(validOrderCount);
        }
        //计算时间区间内的订单总数量
        Integer totalOrderCount = orderCountList.stream().reduce(Integer::sum).get();
        //计算时间区间内的有效订单数量
        Integer validOrderCount = validOrderCountList.stream().reduce(Integer::sum).get();

        //计算订单完成率
        Double orderCompletionRate = 0.0;
        if(totalOrderCount != 0)
        {
            //计算订单完成率
            orderCompletionRate = validOrderCount.doubleValue() / totalOrderCount;
        }

        return OrderReportVO.builder()
                .dateList(StringUtils.join(dateList,","))
                .orderCountList(StringUtils.join(orderCountList,","))
                .validOrderCountList(StringUtils.join(validOrderCountList,","))
                .totalOrderCount(totalOrderCount)
                .validOrderCount(validOrderCount)
                .orderCompletionRate(orderCompletionRate)
                .build();
    }

    /**
     * 销量排名
     * @param begin
     * @param end
     * @return
     */
    @Override
    public SalesTop10ReportVO getSalesTop10(LocalDate begin, LocalDate end)
    {
        //统计指定时间区间内的销量排名前10
        LocalDateTime beginTime = LocalDateTime.of(begin, LocalTime.MIN);
        LocalDateTime endTime = LocalDateTime.of(end,LocalTime.MAX);
        List<GoodsSalesDTO> salesTop10 = orderMapper.getSalesTop10(beginTime, endTime);

        List<String> names = salesTop10.stream().map(GoodsSalesDTO::getName).collect(Collectors.toList());

        String nameList = StringUtils.join(names, ",");
        List<Integer> numbers = salesTop10.stream().map(GoodsSalesDTO::getNumber).collect(Collectors.toList());
        String numberList = StringUtils.join(numbers, ",");
        return SalesTop10ReportVO.builder().nameList(nameList).numberList(numberList).build();
    }

    /**
     * 导出营业数据报表
     * @param response
     */
    @Override
    public void exportBusinessData(HttpServletResponse response)
    {
        LocalDate begin = LocalDate.now().minusDays(30);
        LocalDate end   = LocalDate.now().minusDays(1);
        //上面是年月，需要转化成精确到秒的
        //1.查询数据库，获取数据
            //查询最近30天的运营数据（从工作台中获取）
        BusinessDataVO businessData = workspaceService.getBusinessData(LocalDateTime.of(begin,LocalTime.MIN),LocalDateTime.of(end,LocalTime.MAX));
        //2.通过poi写入到Excel文件中
            InputStream in = this.getClass().getClassLoader().getResourceAsStream("template/运营数据报表模板.xlsx");
            try
            {
                //基于模板数据创建一个excel文件
                    XSSFWorkbook excel = new XSSFWorkbook(in);
                    //获取表格文件的sheet
                    XSSFSheet sheet1 = excel.getSheet("Sheet1");
                    sheet1.getRow(1).getCell(1).setCellValue("时间："+begin+"至"+end);
                    sheet1.getRow(3).getCell(2).setCellValue(businessData.getTurnover());
                    sheet1.getRow(3).getCell(4).setCellValue(businessData.getOrderCompletionRate());
                    sheet1.getRow(3).getCell(6).setCellValue(businessData.getNewUsers());
                    sheet1.getRow(4).getCell(2).setCellValue(businessData.getValidOrderCount());
                    sheet1.getRow(4).getCell(2).setCellValue(businessData.getUnitPrice());
                    //填充明细数据
                    for(int i=0;i<30;i++)
                    {
                        LocalDate date = begin.plusDays(i);
                        //查出当天的营业数据
                        BusinessDataVO today = workspaceService.getBusinessData(LocalDateTime.of(date, LocalTime.MIN), LocalDateTime.of(date, LocalTime.MAX));
                        //从第八行开始填充
                        sheet1.getRow(i+7).getCell(1).setCellValue(date.toString());
                        sheet1.getRow(i+7).getCell(2).setCellValue(today.getTurnover());
                        sheet1.getRow(i+7).getCell(3).setCellValue(today.getValidOrderCount());
                        sheet1.getRow(i+7).getCell(4).setCellValue(today.getOrderCompletionRate());
                        sheet1.getRow(i+7).getCell(5).setCellValue(today.getUnitPrice());
                        sheet1.getRow(i+7).getCell(6).setCellValue(today.getNewUsers());
                    }
                //3.通过输出流把文件下载到浏览器
                //获得输出流对象
                ServletOutputStream outputStream = response.getOutputStream();
                excel.write(outputStream);
                outputStream.close();
                excel.close();
            }catch (IOException e)
            {
                e.printStackTrace();
            }

    }

    //根据条件统计订单数量
    private Integer getOrderCount(LocalDateTime begin,LocalDateTime end,Integer status)
    {
        Map map = new HashMap();
        map.put("begin",begin);
        map.put("end",end);
        map.put("status",status);
        return orderMapper.countByMap(map);
    }
}
